SISTEMA DE ACIONAMENTO DO MOTOR DE RELUTÂNCIA CHAVEADA 8/6 COM DEFINIÇÃO DE ÂNGULOS DE COMUTAÇÃO PARA MELHORIA DE DESEMPENHO DE TORQUE VIA ALGORITMO GENÉTICO

Abstract

This work presents the use of a Genetic Algorithm to optimize the switching angles of a 2.2 kW 8/6 switched reluctance machine (SRM). The main objective of the search carried out in this work is to reduce a known disadvantage of the SRM: torque ripple. Initially, the machine was modeled in Matlab/Simulink® by means of finite element lookup tables simulation. From this model, the algorithm returned optimized angles that minimized the SRM torque ripple in a Matlab/Simulink® based simulation. The results confirm that the torque performance of the SRM is sensitive to the commutation angles and, therefore, it was possible to define switching commands that improved the torque performance of the SRM when comparing conventional and optimized switching for four different operating points. The experimental verification was conducted from the implementation of a drive platform with digital signal processor-based control. The printed circuit boards for the asymmetric bridge converter and the signal conditioning were developed. The DSP used was programmed to drive the SRM with current control. The developed drive proved to be robust and operated satisfactorily, making it possible to confirm the results obtained in the computational verification step. For the machine under study, with the method used, the torque ripple was reduced by more than 50% for one of the evaluated operating points.